Straightness detection device and detection method for tubular steel body

Abstract

A straightness detection device and a detection method for a tubular steel body relate to the technical field of detection equipment, the straightness detection device comprises a detected steel pipe, a straightness detection device and pinch devices, the straightness detection device is a structured light camera, the two sides of the straightness detection device are respectively provided with a pinch device, and the pinch devices are connected with the structured light camera. The detected steel pipe enters from one side of one clamping and conveying device and is arranged below the straightness detection equipment; the straightness detection equipment is connected with the off-line calculation system through a wire; based on the equipment detection method, an online computing system and an offline computing system are included. According to the detection device and the detection method for the flatness of the tubular steel body, non-contact measurement can be realized; online real-time detection is achieved, and the detection coverage range is widened; the detection precision is improved; the detection efficiency is improved.

Description

Technical field:

[0001] The invention relates to the technical field of detection equipment, and in particular to a device and method for detecting the flatness of a tubular steel body. Background technology:

[0002] At present, the detection of steel pipe straightness mainly relies on manual measurement or simple mechanical equipment. Common methods include visual or manual measurement using tools such as wire drawing and level gauges. However, these traditional measurement methods have the defects of low efficiency and insufficient accuracy, which can hardly meet the needs of modern industry for high-precision and high-efficiency steel pipe detection.

[0003] Traditional manual measurement methods are limited by the operator's experience and technical level, and the measurement results are highly subjective and prone to errors. In addition, the detection methods of mechanical equipment often rely on complex operating steps, which not only increases the detection time, but may also damage the surface of the steel pipe and affect the final product quality. At the same time, manual measurement methods cannot perform real-time online detection and can only be completed through random inspections and inspections, which reduces the quality control standards for products and brings potential risks. Summary of the invention:

[0004] The purpose of the present invention is to overcome the shortcomings of the above-mentioned prior art and to provide a device and method for detecting the flatness of a tubular steel body, which can realize non-contact measurement; online real-time detection, improve detection coverage; improve detection accuracy; and improve detection efficiency.

[0005] In order to solve the problems existing in the background technology, the present invention adopts the following technical scheme: it includes a steel pipe to be inspected, a straightness detection device and a clamping device, the straightness detection device is a structured light camera, and a clamping device is respectively arranged on both sides of the straightness detection device. The steel pipe to be inspected enters from one side of one of the clamping devices and is placed under the straightness detection device; the straightness detection device is connected to the offline computing system through a wire.

[0006] The distance between the clamping device and the flatness detection equipment is L2, and the setting value of L2 is 1.5-2.2m; the width of the flatness detection equipment is 30cm.

[0007] The number of the flatness detection device is at least one, that is, the number of the structured light camera is at least one, and the center line distance between two adjacent flatness detection devices is L1, and the set value of L1 is 1m, that is, 1000mm.

[0008] It includes an online calculation system and an offline calculation system, wherein the offline calculation system provides the online calculation system with necessary calculation parameters, and the online calculation system performs online calculation according to the real-time collected data and gives the calculation result of the straightness of the tested steel pipe in real time.

[0009] The detection method of the online computing system is as follows:

[0010] Step 1: Distance trigger signal: In order to continuously calculate the straightness of any position of the steel pipe being tested and ensure the real-time synchronization of the straightness calculation data, the straightness detection system needs to trigger multiple straightness devices at the same time and ensure the standard interval of the collected data values. A signal that triggers according to the distance is required, and the straightness detection device performs real-time data collection according to this signal;

[0011] Step 2: Online data acquisition: The signal in the first step triggers the acquisition device to collect data from multiple flatness detection devices in real time at the millisecond level, and stores the data in the system according to the corresponding relationship of synchronous acquisition;

[0012] Step 3: Multi-threaded processing: In order to ensure the real-time and stability of the system, the data processing of multiple flatness detection devices is completed in multi-threading, mainly completing the initialization and pre-processing of the collected data. In this way, considering the access of different detection devices, the system architecture and processing algorithm will not be affected;

[0013] Step 4: 3D reconstruction of steel pipes: The surface of the inspected steel pipe is reconstructed in 3D through the preprocessed data. The shape of the inspected steel pipe in space can be copied to the computer in the form of data. The physical straightness detection of the inspected steel pipe is mapped to the calculation of the 3D data of the inspected steel pipe. Considering the system installation, equipment parameters, and measurement standards, the calculation of the 3D data of the inspected steel pipe needs to be carried out according to the detection configuration.

[0014] Step 5: Straightness calculation: By calculating the spatial twin data of the tested steel pipe, combined with the straightness detection equipment, the straightness of the tested steel pipe is described and the calculation results are given.

[0015] Step 6. Defect location record: Determine whether there is a flatness defect based on the calculation results in step 5. If there is a flatness defect, record the location and save the flatness defect data.

[0016] The detection method of the offline computing system is as follows:

[0017] Step 1: Manual measurement and calibration: Since the traditional measurement method is manual measurement, it is difficult to have a unified standard. Therefore, digital testing needs to rely on the results of manual measurement for calibration and verification.

[0018] Step 2: Camera calibration: Since there are manual errors when the flatness detection equipment is placed on the device, it is necessary to calibrate the flatness detection equipment system to ensure the uniqueness of the system's detection results;

[0019] Step 3: System calibration: The system measurement needs to be combined with the manually set parameters, the parameters of the flatness detection device 1 and the parameters of the device. Therefore, through system calibration, multiple influencing parameters are normalized and converted into a unified interface that can be read by the detection system.

[0020] Step 4: Detection configuration: Arrange the calculation results in the first, second and third steps to form a standardized parameter list and store it as an inspection configuration, which is provided to the online calculation system for calculation.

[0021] The detection configuration of the fourth step in the offline computing system is respectively combined with the fourth step of 3D reconstruction of the steel pipe and the fifth step of straightness calculation in the online computing system.

[0022] The beneficial effects of the present invention are:

[0023] 1. Non-contact measurement can be achieved;

[0024] 2. Online real-time detection to improve detection coverage;

[0025] 3. Improve detection accuracy;

[0026] 4. Improve detection efficiency. Description of the drawings:

[0027] Figure 1 It is a schematic diagram of the structure of the detection device of the present invention;

[0028] Figure 2 It is a system flow chart of the detection method of the present invention;

[0029] Figure 3 It is a schematic diagram of the detection range of the present invention. Specific implementation method:

[0030] Referring to the figures, the present invention specifically adopts the following implementation mode: including a steel pipe 3 to be inspected, a straightness inspection device 1 and a clamping device 2, wherein the straightness inspection device 1 is a structured light camera, and a clamping device 2 is respectively arranged on both sides of the straightness inspection device 1, and the steel pipe 3 to be inspected enters from one side of one of the clamping devices 2 and is placed under the straightness inspection device 1; the straightness inspection device 1 is connected to the offline computing system through a wire. The distance between the clamping device 2 and the straightness inspection device 1 is L2, and the setting value of L2 is 1.5 to 2.2 m; the width of the straightness inspection device 1 is 30 cm. The number of the straightness inspection device 1 is at least one, that is, the number of the structured light camera is at least one, and the center line distance between two adjacent straightness inspection devices 1 is L1, and the setting value of L1 is 1 m, that is, 1000 mm. It includes an online calculation system and an offline calculation system, wherein the offline calculation system provides necessary calculation parameters to the online calculation system, and the online calculation system performs online calculation according to the real-time collected data and gives the calculation result of the straightness of the tested steel pipe 3 in real time.

[0031] The detection method of the online computing system is as follows:

[0032] Step 1: Distance trigger signal: In order to continuously calculate the straightness of any position of the steel pipe 3 being tested and ensure the real-time synchronization of the straightness calculation data, the straightness detection system needs to trigger multiple straightness devices at the same time and ensure the standard interval of the collected data values. A signal that triggers according to the distance is required, and the straightness detection device performs real-time data collection according to this signal;

[0033] Step 2: Online data acquisition: The signal in the first step triggers the acquisition device to collect data from multiple flatness detection devices in real time at the millisecond level, and stores the data in the system according to the corresponding relationship of synchronous acquisition;

[0034] Step 3: Multi-threaded processing: In order to ensure the real-time and stability of the system, the data processing of multiple flatness detection devices is completed in multi-threading, mainly completing the initialization and pre-processing of the collected data. In this way, considering the access of different detection devices, the system architecture and processing algorithm will not be affected;

[0035] Step 4: 3D reconstruction of steel pipe: The surface of the inspected steel pipe 3 is reconstructed in 3D through the preprocessed data. The shape of the inspected steel pipe 3 in space can be copied to the computer in the form of data. The physical straightness detection of the inspected steel pipe 3 is mapped to the calculation of the 3D data of the inspected steel pipe 3. Considering the system installation, equipment parameters, measurement standards, etc., the calculation of the 3D data of the inspected steel pipe 3 needs to be carried out according to the detection configuration.

[0036] Step 5: Calculate the straightness: By calculating the spatial twin data of the steel pipe 3 to be tested, the straightness of the steel pipe 3 to be tested is described in combination with the straightness testing device 1, and the calculation result is given.

[0037] Step 6. Defect location record: Determine whether there is a flatness defect based on the calculation results in step 5. If there is a flatness defect, record the location and save the flatness defect data.

[0038] The detection method of the offline computing system is as follows:

[0039] Step 1: Manual measurement and calibration: Since the traditional measurement method is manual measurement, it is difficult to have a unified standard. Therefore, digital testing needs to rely on the results of manual measurement for calibration and verification.

[0040] Step 2: Camera calibration: Since there are manual errors when the flatness detection device 1 is placed on the device, it is necessary to calibrate the flatness detection device 1 system to ensure the uniqueness of the system's detection results;

[0041] Step 3: System calibration: The system measurement needs to be combined with the manually set parameters, the parameters of the flatness detection device 1 and the parameters of the device. Therefore, through system calibration, multiple influencing parameters are normalized and converted into a unified interface that can be read by the detection system.

[0042] Step 4: Detection configuration: Arrange the calculation results in the first, second and third steps to form a standardized parameter list and store it as an inspection configuration, which is provided to the online calculation system for calculation.

[0043] The detection configuration of the fourth step in the offline computing system is respectively combined with the fourth step of 3D reconstruction of the steel pipe and the fifth step of straightness calculation in the online computing system.

[0044] Reference Figure 1 The detection device is mainly composed of a straightness detection device 1 (optical structure camera) and a clamping device 2. In order to reduce the impact of the jitter of the steel pipe 3 under test during operation on the measurement of straightness, clamping devices 2 are installed at both ends of the straightness detection device 1 to ensure the smooth operation of the area to be tested of the steel pipe 3 under test. The design of the straightness detection device 1 is related to the actual detection needs, in which the clamping device 2 can be adjusted or cancelled according to the actual movement state of the steel pipe 3 under test and the detection standard. The distance of the straightness detection device 1 can be adjusted according to the detection standard. In some scenarios with different accuracy requirements, the number of straightness detection devices 1 can be adjusted, with a minimum of 1, which can be increased according to demand without setting a limit.

[0045] Reference Figure 2The detection method is composed of an online calculation system and an offline calculation system, wherein the offline calculation system provides the necessary calculation parameters to the online calculation system, and the online calculation system performs online calculations based on the real-time collected data and gives the calculation results of the straightness of the steel pipe in real time. The detection method is composed of an online calculation system and an offline calculation system, wherein the second and fifth steps in the online calculation system are core modules, and the remaining modules can be reduced in the order embodied in the process.

[0046] Reference Figure 3 , by performing annular 3D reconstruction of the steel pipe 3 to be inspected at three shooting points at an interval of 1m, the plane where each straightness inspection device 1 (optical structure camera) is located and the steel pipe 3 to be inspected can form a circular ring or ellipse in space, and after online calculation, the section of the steel pipe 3 to be inspected can be restored in space. By fitting the three sections, the center of the section can be obtained, and the straightness inspection result of the steel pipe 3 to be inspected can be obtained by detecting whether the three centers are on a straight line in space.

[0047] The structured light camera described in the present invention is a device for acquiring spatial description data of the inspected steel pipe, so any device with the same function can replace the structured light camera in this solution.

[0048] In summary, the present tubular steel body flatness detection equipment and detection method can realize non-contact measurement; online real-time detection, improve detection coverage; improve detection accuracy; and improve detection efficiency.

Claims

1. A device for detecting the straightness of a tubular steel body, characterized in that: The invention comprises a steel pipe to be inspected (3), a straightness inspection device (1) and a clamping device (2), wherein the straightness inspection device (1) is a structured light camera, and a clamping device (2) is respectively arranged on both sides of the straightness inspection device (1). The steel pipe to be inspected (3) enters from one side of one of the clamping devices (2) and is placed under the straightness inspection device (1); the straightness inspection device (1) is connected to an offline computing system via a wire.

2. The device for detecting the straightness of a tubular steel body according to claim 1, characterized in that: The distance between the clamping device (2) and the flatness detection device (1) is L2, and the set value of L2 is 1.5-2.2 m; the width of the flatness detection device (1) is 30 cm.

3. The device for detecting the straightness of a tubular steel body according to claim 1, characterized in that: The number of the flatness detection device (1) is at least one, that is, the number of the structured light camera is at least one, the center line distance between two adjacent flatness detection devices (1) is L1, and the set value of L1 is 1m, that is, 1000mm.

4. A detection method for a tubular steel body straightness detection device according to claim 1, characterized in that: It comprises an online calculation system and an offline calculation system, wherein the offline calculation system provides necessary calculation parameters to the online calculation system, and the online calculation system performs online calculation according to the data collected in real time, and gives the calculation result of the straightness of the detected steel pipe (3) in real time.

5. The detection method for a tubular steel body straightness detection device according to claim 4, characterized in that: The detection method of the online computing system is as follows: Step 1: Distance trigger signal: In order to continuously calculate the straightness of any position of the steel pipe (3) being tested and ensure the real-time synchronization of the straightness calculation data, the straightness detection system needs to trigger multiple straightness devices simultaneously and ensure the standard interval of the collected data values. A distance-based trigger signal is required, and the straightness detection device performs real-time data collection based on this signal; Step 2: Online data acquisition: The signal in the first step triggers the acquisition device to collect data from multiple flatness detection devices in real time at the millisecond level, and stores the data in the system according to the corresponding relationship of synchronous acquisition; Step 3: Multi-threaded processing: In order to ensure the real-time and stability of the system, the data processing of multiple flatness detection devices is completed in multi-threading, mainly completing the initialization and pre-processing of the collected data. In this way, considering the access of different detection devices, the system architecture and processing algorithm will not be affected; Step 4: 3D reconstruction of the steel pipe: The surface of the inspected steel pipe (3) is reconstructed in 3D through the preprocessed data. The shape of the inspected steel pipe (3) in space can be copied to the computer in the form of data. The physical straightness detection of the inspected steel pipe (3) is mapped to the calculation of the 3D data of the inspected steel pipe (3). Considering the system installation, equipment parameters and measurement standards, the calculation of the 3D data of the inspected steel pipe (3) needs to be carried out according to the detection configuration. Step 5: Calculation of straightness: by calculating the spatial twin data of the steel pipe (3) to be tested, the straightness of the steel pipe (3) to be tested is described in combination with the straightness testing device (1), and the calculation result is given. Step 6. Defect location record: Determine whether there is a flatness defect based on the calculation results in step 5. If there is a flatness defect, record the location and save the flatness defect data.

6. The detection method for a tubular steel body straightness detection device according to claim 4, characterized in that: The detection method of the offline computing system is as follows: Step 1: Manual measurement and calibration: Since the traditional measurement method is manual measurement, it is difficult to have a unified standard. Therefore, digital testing needs to rely on the results of manual measurement for calibration and verification. Step 2: Camera calibration: Since there are manual errors when the flatness detection device (1) is placed on the device, it is necessary to calibrate the flatness detection device (1) system to ensure the uniqueness of the detection result of the system; Step 3: System calibration: The system measurement needs to combine the parameters set manually, the parameters of the flatness detection device (1) and the parameters of the device. Therefore, through system calibration, multiple influencing parameters are normalized and converted into a unified interface that can be read by the detection system. Step 4: Detection configuration: Arrange the calculation results in the first, second and third steps to form a standardized parameter list and store it as an inspection configuration, which is provided to the online calculation system for calculation.

7. A detection method for a tubular steel body straightness detection device according to claim 5 or 6, characterized in that: The detection configuration in the fourth step of the offline computing system is combined with the fourth step of the steel pipe 3D reconstruction and the fifth step of the straightness calculation in the online computing system.

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